| Neural headline generation on abstract meaning representation S Takase, J Suzuki, N Okazaki, T Hirao, M Nagata Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 186 | 2016 |
| Positional encoding to control output sequence length S Takase, N Okazaki arXiv preprint arXiv:1904.07418, 2019 | 106 | 2019 |
| Lessons on parameter sharing across layers in transformers S Takase, S Kiyono arXiv preprint arXiv:2104.06022, 2021 | 47 | 2021 |
| Improving truthfulness of headline generation K Matsumaru, S Takase, N Okazaki arXiv preprint arXiv:2005.00882, 2020 | 41 | 2020 |
| Direct output connection for a high-rank language model S Takase, J Suzuki, M Nagata arXiv preprint arXiv:1808.10143, 2018 | 38 | 2018 |
| Rethinking perturbations in encoder-decoders for fast training S Takase, S Kiyono arXiv preprint arXiv:2104.01853, 2021 | 34 | 2021 |
| Handling multiword expressions in causality estimation S Sasaki, S Takase, N Inoue, N Okazaki, K Inui IWCS 2017—12th International Conference on Computational Semantics—Short …, 2017 | 31 | 2017 |
| Character n-gram embeddings to improve RNN language models S Takase, J Suzuki, M Nagata Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5074-5082, 2019 | 26 | 2019 |
| Fast and large-scale unsupervised relation extraction S Takase, N Okazaki, K Inui Proceedings of the 29th Pacific Asia Conference on Language, Information and …, 2015 | 21 | 2015 |
| Interpretability for language learners using example-based grammatical error correction M Kaneko, S Takase, A Niwa, N Okazaki arXiv preprint arXiv:2203.07085, 2022 | 17 | 2022 |
| An empirical study of building a strong baseline for constituency parsing J Suzuki, S Takase, H Kamigaito, M Morishita, M Nagata Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 16 | 2018 |
| Multi-task learning for cross-lingual abstractive summarization S Takase, N Okazaki arXiv preprint arXiv:2010.07503, 2020 | 15 | 2020 |
| All word embeddings from one embedding S Takase, S Kobayashi Advances in Neural Information Processing Systems 33, 3775-3785, 2020 | 15 | 2020 |
| Modeling semantic compositionality of relational patterns S Takase, N Okazaki, K Inui Engineering Applications of Artificial Intelligence 50, 256-264, 2016 | 15 | 2016 |
| Joint optimization of tokenization and downstream model T Hiraoka, S Takase, K Uchiumi, A Keyaki, N Okazaki arXiv preprint arXiv:2105.12410, 2021 | 12 | 2021 |
| Optimizing word segmentation for downstream task T Hiraoka, S Takase, K Uchiumi, A Keyaki, N Okazaki Findings of the Association for Computational Linguistics: EMNLP 2020, 1341-1351, 2020 | 12 | 2020 |
| Composing distributed representations of relational patterns S Takase, N Okazaki, K Inui ACL, 2276-2286, 2016 | 12 | 2016 |
| Source-side prediction for neural headline generation S Kiyono, S Takase, J Suzuki, N Okazaki, K Inui, M Nagata arXiv preprint arXiv:1712.08302, 2017 | 11 | 2017 |
| Unsupervised token-wise alignment to improve interpretation of encoder-decoder models S Kiyono, S Takase, J Suzuki, N Okazaki, K Inui, M Nagata Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 8 | 2018 |
| Evaluation dataset for zero pronoun in japanese to english translation S Shimazu, S Takase, T Nakazawa, N Okazaki Proceedings of the 12th Language Resources and Evaluation Conference, 3630-3634, 2020 | 7 | 2020 |
Jun SuzukiTohoku University確認したメール アドレス: tohoku.ac.jp
